EVOLUTION-MANAGER
Edit File: stat_ecdf.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Compute empirical cumulative distribution</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for stat_ecdf {ggplot2}"><tr><td>stat_ecdf {ggplot2}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Compute empirical cumulative distribution</h2> <h3>Description</h3> <p>The empirical cumulative distribution function (ECDF) provides an alternative visualisation of distribution. Compared to other visualisations that rely on density (like <code><a href="geom_histogram.html">geom_histogram()</a></code>), the ECDF doesn't require any tuning parameters and handles both continuous and categorical variables. The downside is that it requires more training to accurately interpret, and the underlying visual tasks are somewhat more challenging. </p> <h3>Usage</h3> <pre> stat_ecdf( mapping = NULL, data = NULL, geom = "step", position = "identity", ..., n = NULL, pad = TRUE, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) </pre> <h3>Arguments</h3> <table summary="R argblock"> <tr valign="top"><td><code>mapping</code></td> <td> <p>Set of aesthetic mappings created by <code><a href="aes.html">aes()</a></code> or <code><a href="aes_.html">aes_()</a></code>. If specified and <code>inherit.aes = TRUE</code> (the default), it is combined with the default mapping at the top level of the plot. You must supply <code>mapping</code> if there is no plot mapping.</p> </td></tr> <tr valign="top"><td><code>data</code></td> <td> <p>The data to be displayed in this layer. There are three options: </p> <p>If <code>NULL</code>, the default, the data is inherited from the plot data as specified in the call to <code><a href="ggplot.html">ggplot()</a></code>. </p> <p>A <code>data.frame</code>, or other object, will override the plot data. All objects will be fortified to produce a data frame. See <code><a href="fortify.html">fortify()</a></code> for which variables will be created. </p> <p>A <code>function</code> will be called with a single argument, the plot data. The return value must be a <code>data.frame</code>, and will be used as the layer data. A <code>function</code> can be created from a <code>formula</code> (e.g. <code>~ head(.x, 10)</code>).</p> </td></tr> <tr valign="top"><td><code>geom</code></td> <td> <p>The geometric object to use display the data</p> </td></tr> <tr valign="top"><td><code>position</code></td> <td> <p>Position adjustment, either as a string, or the result of a call to a position adjustment function.</p> </td></tr> <tr valign="top"><td><code>...</code></td> <td> <p>Other arguments passed on to <code><a href="layer.html">layer()</a></code>. These are often aesthetics, used to set an aesthetic to a fixed value, like <code>colour = "red"</code> or <code>size = 3</code>. They may also be parameters to the paired geom/stat.</p> </td></tr> <tr valign="top"><td><code>n</code></td> <td> <p>if NULL, do not interpolate. If not NULL, this is the number of points to interpolate with.</p> </td></tr> <tr valign="top"><td><code>pad</code></td> <td> <p>If <code>TRUE</code>, pad the ecdf with additional points (-Inf, 0) and (Inf, 1)</p> </td></tr> <tr valign="top"><td><code>na.rm</code></td> <td> <p>If <code>FALSE</code> (the default), removes missing values with a warning. If <code>TRUE</code> silently removes missing values.</p> </td></tr> <tr valign="top"><td><code>show.legend</code></td> <td> <p>logical. Should this layer be included in the legends? <code>NA</code>, the default, includes if any aesthetics are mapped. <code>FALSE</code> never includes, and <code>TRUE</code> always includes. It can also be a named logical vector to finely select the aesthetics to display.</p> </td></tr> <tr valign="top"><td><code>inherit.aes</code></td> <td> <p>If <code>FALSE</code>, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. <code><a href="borders.html">borders()</a></code>.</p> </td></tr> </table> <h3>Computed variables</h3> <dl> <dt>x</dt><dd><p>x in data</p> </dd> <dt>y</dt><dd><p>cumulative density corresponding x</p> </dd> </dl> <h3>Examples</h3> <pre> df <- data.frame( x = c(rnorm(100, 0, 3), rnorm(100, 0, 10)), g = gl(2, 100) ) ggplot(df, aes(x)) + stat_ecdf(geom = "step") # Don't go to positive/negative infinity ggplot(df, aes(x)) + stat_ecdf(geom = "step", pad = FALSE) # Multiple ECDFs ggplot(df, aes(x, colour = g)) + stat_ecdf() </pre> <hr /><div style="text-align: center;">[Package <em>ggplot2</em> version 3.3.2 <a href="00Index.html">Index</a>]</div> </body></html>